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Article

Machine Learning Approach for Prescriptive Plant Breeding.

Scientific reports - 20 Nov 2019

Parmley Kyle A, Higgins Race H, Ganapathysubramanian Baskar, Sarkar Soumik, Singh Asheesh K

Abstract excerpt

We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide plant breeders the tools to do both in-season seed yield (SY) prediction and prescriptive cultivar development for targeted agro-management practices (e.g., row spacing and seeding density). We phenotyped 32 SoyNAM parent genotypes in two independent studies each with contrasting...

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Identifiers

PMID: 31748577
DOI: 10.1038/s41598-019-53451-4
PMCID: PMC6868245

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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